Dynamic inundation simulation of storm water interaction between sewer system and overland flows

Copyright © 2002 Taylor & FrancisThis is the Author's Accepted Manuscript of an article published in the Journal of the Chinese Institute of Engineers (2002), available online at: http://www.tandfonline.com/10.1080/02533839.2002.9670691An improved urban inundation model, coupling a 2D non‐inertia overland flow model with a storm water management model, is adopted to simulate inundation in urban areas. The model computes, not only the overland runoff and the water overflow through manholes where surface runoff exceeds the capacity of storm sewers, but also the bidirectional flow interactions between sewers and overland runoff. The model was verified by a typhoon event in Nov. 2000, which resulted in serious inundation in the Mucha area of Taipei City. The result shows that the present model indeed improves simulation accuracy over the earlier model, and can be used to provide a more reliable flood mitigation design

Simulation of Urban Runoff and Pollutant Loading from the Greater Lake Calumet Area: Part 1: Theory and Development, and Part 2: Auto_QI User's Manual

published or submitted for publicationis peer reviewedOpe

A Data Handling Architecture for a Prototype Federal Application

The Distributed Object Computation Testbed (DOCT) Project is a collaboration led by the San Diego Supercomputer Center (SDSC) and funded by the Defense Advanced Research Projects Agency (DARPA) and the US Patent and Trademark Office (USPTO). The DOCT project was initiated with the objective of creating a testbed system for handling complex documents on geographically distributed data archives and computing platforms. The project focuses on technologies that apply to the information needs of federal agencies, such as the National Science Foundation, the National Institutes of Health, the Nuclear Regulatory Commission, the Environmental Protection Agency (EPA), the Department of Energy, and the Department of Defense. In particular, the patent filing and amendment processing application of the USPTO is used as the prototype application for this testbed. This paper describes the DOCT system architecture and the USPTO application

Pilot study of fractional CO2 laser therapy for genitourinary syndrome of menopause in gynecologic cancer survivors

PurposeThe objectives of this study were to evaluate the feasibility and efficacy of fractional CO2 laser therapy in gynecologic cancer survivors.MethodsThis was a pilot, multi-institutional randomized sham-controlled trial of women with gynecologic cancers with dyspareunia and/or vaginal dryness. Participants were randomized to fractional CO2 laser treatment or sham laser treatment. The primary aim was to estimate the proportion of patients who had improvement in symptoms based on the Vaginal Assessment Scale (VAS). Secondary aims included changes in sexual function assessed using the Female Sexual Functioning Index (FSFI) and urinary symptoms assessed using the the Urinary Distress Inventory (UDI-6).ResultsEighteen women participated in the study, ten in the treatment arm and eight in the sham arm. The majority of participants had stage I (n = 11, 61.1 %) or II (n = 3, 16.7 %) endometrial cancer with adenocarcinoma histology (n = 9, 50 %). In total, 15 (83.3 %) of the participants completed all treatments and follow-up visit. There was no difference in the change in the median VAS score from baseline to follow-up. However, there was an improvement in change in the median total FSFI score with treatment compared with sham (Δ 6.5 vs -0.3, p = 0.02). The change in the median UDI-6 score was lower in the treatment arm (Δ -14.6 vs -2.1, p = 0.17), but this was not statistically significant. There were no reported serious adverse events.ConclusionsFractional CO2 laser therapy is feasible in gynecologic cancer survivors, with preliminary evidence of safety. In addition, there was preliminary evidence of improvement in sexual function compared with sham treatment. Clinicaltrial.gov Identifier: NCT03372720 (OSU-17261; NCI-2017-02051)